在乳腺癌诊断之前的查 Mammograms 上的人工智能风险评分
Marthe Larsen1, Camilla F Olstad1, Henrik W Koch1
1From the Section for Breast Cancer Screening (M.L., C.F.O., S.H.) and Department of Register Informatics (S.A., J.N.), Cancer Registry of Norway, P.O. Box 5313, 0304 Oslo, Norway; Department of Radiology, Stavanger University Hospital, Stavanger, Norway (H.W.K.); Faculty of Health Sciences, University of Stavanger, Stavanger, Norway (H.W.K.); Department of Radiology, Østfold Hospital Trust, Kalnes, Norway (M.A.M.); Institute of Clinical Medicine, University of Oslo, Oslo, Norway (M.A.M.); Department of Radiology, Ålesund Hospital, Møre og Romsdal Hospital Trust, Ålesund, Norway (S.R.H.); Department of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, National University for Science and Technology, Trondheim, Norway (S.R.H.); Department of Radiology and Nuclear Medicine, St Olavs University Hospital, Trondheim, Norway (H.L.H.); Department of Radiology, Hospital of Southern Norway, Kristiansand, Norway (H.S.S.); SPKI-The Norwegian Centre for Clinical Artificial Intelligence, University Hospital of North Norway, Tromsø, Norway (K.Ø.M.); Department of Clinical Medicine (K.Ø.M.) and Health and Care Sciences (S.H.), Faculty of Health Sciences, UiT-The Arctic University of Norway, Tromsø, Norway; Department of Translational Medicine, Diagnostic Radiology, Lund University, Lund, Sweden (K.L.); Unilabs Mammography Unit, Skåne University Hospital, Malmø, Sweden (K.L.); School of Medicine, University of Nottingham, Clinical Science Building, Nottingham City Hospital, Nottingham, United Kingdom (Y.C.).
人工智能 (AI) 风险评分在先前的乳房造影上确定了超过三分之一的后续乳腺癌. 这表明,人工智能可能会在查计划中改善早期乳腺癌检测.
科学领域:
- 放射学 放射学是一门学科.
- 人工智能的人工智能
- 在瘤学瘤学.
背景情况:
- 有限的研究存在于人工智能 (AI) 在预先查乳房镜中.
- 从历史查数据中评估AI在识别乳腺癌风险方面的作用至关重要.
研究的目的:
- 调查人工智能产生的风险分数从先前查乳房造影和随后的乳腺癌诊断之间的关联.
- 评估AI风险评分是否可以预测后来被诊断为乳腺癌的女性的恶性瘤.
主要方法:
- 从挪威的BreastScreen (2004-2019) 进行查性乳房造影的回顾性分析.
- 商业上可用的AI系统将风险评分 (1-10) 分配给被诊断为乳腺癌的妇女的先前检查.
- 双变量分析测试了AI得分和乳房图像特征之间的关联.
主要成果:
- 在前一轮查中,超过三分之一的查检测 (38.3%) 和间隔 (39.4%) 乳腺癌的AI风险得分最高 (10).
- 在查检测到的癌症中,23.0%的人在诊断前4年内拥有最高的AI得分.
- 乳房图像特征,如化的密度,与侵袭性癌症的更高AI得分有显著的关联 (P < .001).
结论:
- 显著比例的乳腺癌被标记为在先前查性乳房造影中AI风险得分最高的乳腺癌.
- 人工智能在乳房扫描查中的风险评分具有早期发现乳腺癌的潜力.
- 对人工智能在选工作流程中的整合进行进一步研究是有必要的.
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